Explore the evolution of big data, from Hadoop to cloud-native platforms like Snowflake, and learn how specialized skills shape this thriving industry's future.
Learn how to automate PII tagging, metadata management, and SQL lineage tracking with GPT-4, OpenMetadata, dbt, Trino, and Python for smarter data governance.
Choosing between data lakes, warehouses, lakehouses, and marts depends on your business needs and data maturity. This article breaks each down with real-world examples.
The paper explores AI chatbot bias, ethical concerns, fairness, detection methods, and real-world impacts in fields like healthcare, recruitment, and customer service.
The iot brings forth an enormous transformation in how human beings operate with technology. The system delivers advantages that benefit both efficiency and convenience.
This article covers strategies for safeguarding sensitive data, enforcing compliance, and embedding responsible AI principles throughout the model lifecycle.
Discover how developers can drive innovation by combining IoT and AI to create transformative solutions and unlock new opportunities across industries.
Learn how Spark Structured Streaming and cloud services optimize real-time data integration with scalable, fault-tolerant workflows for modern applications.
A big data ML solution using PySpark to link bank accounts and transactions for a unified customer view (Customer 360), while detecting fraud implicitly.
Big data offers potential, but trust issues arise from poor quality, security, and accuracy. Organizations need strategy, governance, and training to ensure reliability.
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